Abstract
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy. Half of the children interacted with the social robot NAO supervised by a therapist. The other half, constituting a control group, interacted directly with a therapist. Both groups followed the Applied Behavior Analysis (ABA) protocol. Each session was recorded with three RGB cameras and two RGBD (Kinect) cameras, providing detailed information of children's behavior during therapy. This public release of the dataset comprises body motion, head position and orientation, and eye gaze variables, all specified as 3D data in a joint frame of reference. In addition, metadata including participant age, gender, and autism diagnosis (ADOS) variables are included. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.
DOI
10.1371/jourl.pone.0236939
Publication Date
2020-08-21
Publication Title
PLoS ONE
Volume
15
Issue
8
ISSN
1932-6203
Embargo Period
2020-12-22
Organisational Unit
School of Engineering, Computing and Mathematics
First Page
e0236939
Last Page
e0236939
Recommended Citation
Billing, E., Belpaeme, T., Cai, H., Cao, H., Ciocan, A., Costescu, C., David, D., Homewood, R., Hernandez, G., Gómez, E., Liu, H., Nair, V., Matu, S., Mazel, A., Selescu, M., Senft, E., Thill, S., Vanderborght, B., Vernon, D., & Ziemke, T. (2020) 'The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy', PLoS ONE, 15(8), pp. e0236939-e0236939. Available at: https://doi.org/10.1371/jourl.pone.0236939
